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Highlights from
Files for the 2012 Webinar "Tips and Tricks - Getting Started Using Optimization with MATLAB"

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Files for the 2012 Webinar "Tips and Tricks - Getting Started Using Optimization with MATLAB"

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These are the files that were used for the demonstrations in the webinar.

objectiveFunction(x,StdRes, StdTherm_Val, StdTherm_Beta,Tdata,Vdata)
function G = objectiveFunction(x,StdRes, StdTherm_Val, StdTherm_Beta,Tdata,Vdata)
%OBJECTIVEFUNCTION Objective function for the thermistor problem
%   OBJECTIVEFUNCTION(X, STDRED, STDTHERM_VAL, STDTHERM_BETA, TDATA, VDATA)
%   calculates the sum of squared error between the VDATA voltage curve and
%   the simulated curve.  TDATA is the temperature data corresponding to 
%   VDATA. STDRES, STDTHERM_VAL, and STDTHERM_BETA are values of the 
%   available resistor and thermistor components.  X is a vector of
%   integers used to index into the resistor and thermistor vectors.
%
%   Sytnax
%      G = peaksCon(x, StdRes, StdTherm_Val, StdTherm_Beta,Tdata,Vdata)
%
%   See also RunThermistorExample

% Copyright (c) 2012, The MathWorks, Inc.
% All rights reserved.

% StdRes = standard vector of resistor values
% StdTherm = standard matrix (2xN) of themistor values

% Extract component values from tables using integers in x as indices
y = zeros(8,1);
y(1) = StdRes(x(1));
y(2) = StdRes(x(2));
y(3) = StdRes(x(3));
y(4) = StdRes(x(4));
y(5) = StdTherm_Val(x(5));
y(6) = StdTherm_Beta(x(5));
y(7) = StdTherm_Val(x(6));
y(8) = StdTherm_Beta(x(6));

% Calculate temperature curve for a particular set of components
F = tempCompCurve(y, Tdata);

% Compare simulated results to desired curve
Residual = F(:) - Vdata(:);
Residual = Residual(1:2:26);

G = Residual'*Residual; % sum of squares

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